Triple
T2998998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Square |
E81139
|
entity |
| Predicate | publicSpaceType |
P5611
|
FINISHED |
| Object | city square |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: city square | Statement: [Art Square, publicSpaceType, city square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicSpaceType Context triple: [Art Square, publicSpaceType, city square]
-
A.
openSpaceType
chosen
Indicates the type or category of an open space associated with an entity (e.g., park, plaza, courtyard).
-
B.
performanceSpaceType
Indicates the specific kind or category of space in which a performance or event takes place.
-
C.
hasSpaceType
Indicates that one entity is associated with, or classified by, a particular type or category of space.
-
D.
hasPublicSpaceAlong
Indicates that a public space (such as a park, plaza, or walkway) is located adjacent to or runs alongside the referenced feature or element.
-
E.
ambientSpace
Indicates the surrounding or containing space within which an object, structure, or geometric entity is situated or defined.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f766408190a5591efce8346bb9 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.